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EAGER: Collaborative Research: Refining survey-based measures of innovation

EAGER：协作研究：完善基于调查的创新衡量标准

基本信息

批准号：
1646689
负责人：
John Walsh
金额：
$ 6.47万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2017-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646689&HistoricalAwards=false
关键词：
EAGER Collaborative Research Refining survey

项目摘要

Conceptualizing and measuring innovation is surprisingly difficult. The international innovation community has been measuring innovation by developing national surveys based on the OECD's Oslo manual that rely on the simple categorical distinction. This project goes beyond the categorical distinction by characterizing firms' top-selling innovations in a given market along the dimensions of economic, technical and uniqueness. These measures of innovation are validated by comparisons with other existing public and private data and by examining the firm, industry, and regional characteristics. Results from the project provide guidance for other innovation surveys to advance our understanding of the drivers of innovation.Approaching innovation as a multidimensional concept provides analysts the tools to calibrate the importance of a given innovation. The analysis allows researchers and policymakers to assess whether the innovations in question are important in a sense that will be meaningful for the various communities interested in innovation. This project exploits data from the American Competitiveness Survey, a private innovation survey, and combines it with data from the NSF Business R&D and Innovation Survey, the European Community Innovation Survey, and the Carnegie Mellon Survey, another private R&D survey.

概念化和衡量创新是非常困难的。国际创新界一直在根据经合组织的奥斯陆手册制定国家调查，以简单的分类区分来衡量创新。这个项目超越了分类的区别，通过描述公司在特定市场上最畅销的创新沿着经济，技术和独特性的维度。通过与其他现有的公共和私人数据的比较，并通过研究公司，行业和区域特征，这些创新措施得到了验证。该项目的结果为其他创新调查提供了指导，以促进我们对创新驱动因素的理解。将创新作为一个多维概念进行研究，为分析人员提供了校准特定创新重要性的工具。分析使研究人员和决策者能够评估有关创新是否重要，是否对创新感兴趣的各个社区有意义。本项目利用了美国竞争力调查（一项私人创新调查）的数据，并将其与NSF商业研发和创新调查、欧洲共同体创新调查和卡内基梅隆调查（另一项私人研发调查）的数据相结合。